collaborators

8 papers

physics.flu-dyn2026

Elasto-inertial transitions in viscoelastic flows through cylinder arrays

Jack R. C. King, Henry M. Broadley, Miguel Beneitez

For dilute solutions of polymers, chaotic flow states can occur at lower Reynolds numbers than required for inertial turbulence in Newtonian fluids, offering the potential for incr…

cs.LG2026

Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

Lucas Gerken Starepravo, Georgios Fourtakas, Steven Lind +3

Mesh-free numerical methods provide flexible discretisations for complex geometries; however, classical meshless discrete differential operators typically trade low computational c…

math.NA2026

Compact LABFM: a framework for meshless methods with spectral-like resolving power

Henry M. Broadley, Steven J. Lind, Jack R. C. King

Meshless methods are often used in numerical simulations of systems of partial differential equations (PDEs), particularly those which involve complex geometries or free surfaces.…

math.NA2025

A p-adaptive high-order mesh-free framework for fluid simulations in complex geometries

Ruofeng Feng, Jack R. C. King, Steven J. Lind

This paper presents a novel p-adaptive, high-order mesh-free framework for the accurate and efficient simulation of fluid flows in complex geometries. High-order differential opera…

math.NA2025

Improving the accuracy of meshless methods via resolving power optimisation using multiple kernels

H. Broadley, J. R. C. King, S. J. Lind

Meshless methods are commonly used to determine numerical solutions to partial differential equations (PDEs) for problems involving free surfaces and/or complex geometries, approxi…

physics.flu-dyn2025

Uncertainty in Elastic Turbulence

Jack R. C. King, Robert J. Poole, Cláudio P. Fonte +1

Elastic turbulence can lead to to increased flow resistance, mixing and heat transfer. Its control -- either suppression or promotion -- has significant potential, and there is a c…